Summary
Samuel Thorpe is a Senior Director of Data Science with a decade of experience translating neuroscience and biomedical research into production-grade data platforms and validated ML for regulated clinical settings. Anchored by a PhD in Mathematical Behavioral Science, he has built cloud-native, AWS-based microservices and scalable ETL pipelines for 30+ digital health studies while leading algorithm development for physiological signals like ECG, PPG, and accelerometry. He pairs systems-level cloud engineering and CI/CD practice with deep expertise in signal processing and time-series modeling to deliver reproducible, regulatory-ready digital biomarkers. Samuel has a track record of collaborating closely with clinicians to move models from lab proof-of-concept to FDA-aligned deployments, and he mentors cross-functional teams to embed scientific rigor into product development. Based in El Segundo, CA, he is drawn to roles that fuse platform strategy, applied ML, and pro-social impact in healthtech and biotech.
10 years of coding experience
13 years of employment as a software developer
Data Science, Data Science at The Data Incubator
University of California, Irvine